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The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis

Many insects use the pattern of polarized light in the sky for spatial orientation and navigation. We have investigated the polarization vision system in the desert locust. To create a common platform for anatomical studies on polarization vision pathways, Kurylas et al. (2008) have generated a thre...

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Autores principales: el Jundi, Basil, Heinze, Stanley, Lenschow, Constanze, Kurylas, Angela, Rohlfing, Torsten, Homberg, Uwe
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2818101/
https://www.ncbi.nlm.nih.gov/pubmed/20161763
http://dx.doi.org/10.3389/neuro.06.021.2009
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author el Jundi, Basil
Heinze, Stanley
Lenschow, Constanze
Kurylas, Angela
Rohlfing, Torsten
Homberg, Uwe
author_facet el Jundi, Basil
Heinze, Stanley
Lenschow, Constanze
Kurylas, Angela
Rohlfing, Torsten
Homberg, Uwe
author_sort el Jundi, Basil
collection PubMed
description Many insects use the pattern of polarized light in the sky for spatial orientation and navigation. We have investigated the polarization vision system in the desert locust. To create a common platform for anatomical studies on polarization vision pathways, Kurylas et al. (2008) have generated a three-dimensional (3D) standard brain from confocal microscopy image stacks of 10 male brains, using two different standardization methods, the Iterative Shape Averaging (ISA) procedure and the Virtual Insect Brain (VIB) protocol. Comparison of both standardization methods showed that the VIB standard is ideal for comparative volume analysis of neuropils, whereas the ISA standard is the method of choice to analyze the morphology and connectivity of neurons. The central complex is a key processing stage for polarization information in the locust brain. To investigate neuronal connections between diverse central-complex neurons, we generated a higher-resolution standard atlas of the central complex and surrounding areas, using the ISA method based on brain sections from 20 individual central complexes. To explore the usefulness of this atlas, two central-complex neurons, a polarization-sensitive columnar neuron (type CPU1a) and a tangential neuron that is activated during flight, the giant fan-shaped (GFS) neuron, were reconstructed 3D from brain sections. To examine whether the GFS neuron is a candidate to contribute to synaptic input to the CPU1a neuron, we registered both neurons into the standardized central complex. Visualization of both neurons revealed a potential connection of the CPU1a and GFS neurons in layer II of the upper division of the central body.
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spelling pubmed-28181012010-02-16 The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis el Jundi, Basil Heinze, Stanley Lenschow, Constanze Kurylas, Angela Rohlfing, Torsten Homberg, Uwe Front Syst Neurosci Neuroscience Many insects use the pattern of polarized light in the sky for spatial orientation and navigation. We have investigated the polarization vision system in the desert locust. To create a common platform for anatomical studies on polarization vision pathways, Kurylas et al. (2008) have generated a three-dimensional (3D) standard brain from confocal microscopy image stacks of 10 male brains, using two different standardization methods, the Iterative Shape Averaging (ISA) procedure and the Virtual Insect Brain (VIB) protocol. Comparison of both standardization methods showed that the VIB standard is ideal for comparative volume analysis of neuropils, whereas the ISA standard is the method of choice to analyze the morphology and connectivity of neurons. The central complex is a key processing stage for polarization information in the locust brain. To investigate neuronal connections between diverse central-complex neurons, we generated a higher-resolution standard atlas of the central complex and surrounding areas, using the ISA method based on brain sections from 20 individual central complexes. To explore the usefulness of this atlas, two central-complex neurons, a polarization-sensitive columnar neuron (type CPU1a) and a tangential neuron that is activated during flight, the giant fan-shaped (GFS) neuron, were reconstructed 3D from brain sections. To examine whether the GFS neuron is a candidate to contribute to synaptic input to the CPU1a neuron, we registered both neurons into the standardized central complex. Visualization of both neurons revealed a potential connection of the CPU1a and GFS neurons in layer II of the upper division of the central body. Frontiers Research Foundation 2010-02-03 /pmc/articles/PMC2818101/ /pubmed/20161763 http://dx.doi.org/10.3389/neuro.06.021.2009 Text en Copyright © 2010 el Jundi, Heinze, Lenschow, Kurylas, Rohlfing, and Homberg. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
el Jundi, Basil
Heinze, Stanley
Lenschow, Constanze
Kurylas, Angela
Rohlfing, Torsten
Homberg, Uwe
The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis
title The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis
title_full The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis
title_fullStr The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis
title_full_unstemmed The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis
title_short The Locust Standard Brain: A 3D Standard of the Central Complex as a Platform for Neural Network Analysis
title_sort locust standard brain: a 3d standard of the central complex as a platform for neural network analysis
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2818101/
https://www.ncbi.nlm.nih.gov/pubmed/20161763
http://dx.doi.org/10.3389/neuro.06.021.2009
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